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Bulk structural information from density functionals for patchy particles
Daniel Stopper1, Frank Hirschmann2, Martin Oettel2
1Institute for Theoretical Physics, University of Tübingen, Auf der Morgenstelle 14, 72076 Tübingen, Germany.
Density functional theory accurately models tetravalent associating particles, but struggles with amorphous network formation. Modifications improve predictions, outperforming other density functional approaches.
Area of Science:
- Physical Chemistry
- Soft Matter Physics
- Computational Chemistry
Background:
- Classical density functional theory (DFT) is crucial for understanding fluid behavior.
- Wertheim's thermodynamic perturbation theory provides a foundation for associating particle systems.
- Accurate modeling of bulk structural properties is essential for predicting material behavior.
Purpose of the Study:
- To investigate the bulk structural properties of tetravalent associating particles using DFT.
- To compare DFT predictions with results from computer simulations.
- To evaluate the performance of different DFT functionals for these systems.
Main Methods:
- Utilizing classical density functional theory, building upon Wertheim's thermodynamic perturbation theory.
- Calculating density profiles within an effective test-particle geometry.
- Comparing theoretical results with radial distribution functions from computer simulations.
Main Results:
- A modified Yu and Wu functional based on fundamental measure theory shows accurate results for bulk properties.
- Quantitative differences arise at low temperatures due to DFT's lack of geometrical information on patch arrangements.
- The modified theory better fits simulations of the floating-bond model compared to amorphous tetrahedral network formation.
- A Segura et al. DFT approach fails to capture fundamental structural properties.
Conclusions:
- Modified DFT functionals can accurately describe bulk structural properties of tetravalent associating particles.
- Limitations exist in current DFT approaches for modeling low-temperature amorphous network structures.
- The choice of DFT functional significantly impacts the accuracy of simulation predictions.
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